Ensense Analysis Deep Dive
Understanding Resilience in DOD
As DOD utility infrastructure investment remains chronically underfunded, the importance of their resilience and reliability continues to increase. Installation leaders need better tools to understand the condition, configuration and dependencies of their utilities, and the risks that installations are unknowingly taking that compromise critical infrastructure and missions. Current systems tend to be stove-piped and not assessed holistically.
For example, investing in upgrades to your critical wastewater systems is important, but poorly maintained single point of failure electrical components up-stream could catastrophically impact your apparently resilient wastewater system. Further, data that is collected on DOD utilities is driven by disparate requirements and systems (Arc Flash, GIS, Maximo, etc.) that are not integrated, and do not aggregate across platforms at this time.
Data Integration and Digital Twin
With recent improvements to legacy systems, data collection and integration tools, and artificial intelligence capabilities, the quality of data and the ability to share and analyze across platforms is rapidly advancing.
The question now is what is possible?
Imagine an Installation Digital Twin that provides a comprehensive operational picture that allows you to explore infrastructure through a map-based interface for mission readiness.
This system enables you to see how changes to various components might affect other systems and portions of the installation. Better data leads to better and more confident decisions. This is ENSense Analysis. With a nodal system your infrastructure assets are connected networks, integrated together, and further integrated with Asset Management, Design, Planning, Work Management, SCADA, or other systems to create your unique Nodal Digital Twin.
This connectivity through intelligent software systems provides analysis, planning, and decision-making tools for infrastructure managers using integrated mobile tools, digital workflows, data models, and connections between GIS and other infrastructure and asset management systems including, Builder, Maximo and iNFADS. It ensures that data silos are eliminated and that installation leaders have a complete picture of their utilities.
Risk Mitigation Strategies
Building connected nodal networks to identify vulnerabilities in infrastructure systems and prevent catastrophic mission failures.
Integrated Asset Sync
Syncing existing systems like GIS, Maximo, iNFADS and others into a unified platform for real-time infrastructure status and condition monitoring.
Digital Workflow Optimization
Dynamic Operational Mapping
Using map-based interfaces to simulate how specific component changes affect the broader utility network.
Transitioning from disparate data collection requirements to a centralized, AI-enhanced Nodal Digital Twin. This methodology transforms how installation leaders visualize dependencies and manage utility infrastructure for the future.
Operational Planning
Providing a live operational view of what is happening across the installation, including what work is planned, scheduled, and underway, so leaders can coordinate resources and reduce conflicts.
Infrastructure Resilience
Improving reliability through simulation tools that identify vulnerabilities to weather and natural disruptions.
Our Phased Implementation for Nodal Analysis
We introduce a modular methodology that delivers measurable value at every stage. Implementing the Ensense Analysis toolset and a connected utility network transformation isn't a shotgun approach.
In fact, it shouldn't be.
The process takes steps, each its own individual project, each bringing benefit to the client. This allows for a strategic, cost-effective implementation that meets your specific facility needs without requiring a disruptive and budget-blowing total overhaul all at once.
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Every step down the path results in a deliverable from which our clients gain benefits.
Phase Details & Implementation
Assessment
The process of implementing Nodal begins with a phase called the ‘Assessment’. This is an assessment of the client’s existing software systems, licensing, data, hardware, cyber security, etc.
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The intent of the Assessment is to give us a full picture of what currently exists and what work will be required to implement a Nodal system and will result in a selection of ideal networks and areas for a pilot data conversion and initial ENSense Analysis stand-up.
This ensures we identify mission-critical gaps and establish a clear transformation roadmap.
Benefit: Gain a zero-base, clearer picture of all current systems and identified vulnerabilities.
Integration Points
The integration Points phase is an assessment of what we call the ‘nodes’ in the Nodal network, which would be anything that would exist as an integrated component in the larger ENSense Analysis system; GIS, Planning tools, Work Management, Asset Management, Document Management, Design, SCADA; any system that provides information about your larger infrastructure picture.
Benefit: Establish a unified data architecture that identifies and bridges all integration nodes.
Data & Model Analysis
The backbone of the ENSense Analysis system is the infrastructure data, and we need to ensure your data is ready for this level of integration.
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We take a deeper look into the existing infrastructure models and information; the electrical grid, natural gas system, wastewater, stormwater systems, etc.
The intent is to determine the quality and completeness of these models and datasets, whether they are GIS models, PDFs, paper maps, or any other potential data source.
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Once we have the existing infrastructure models identified and needs assessed for upgrading and integrating those models, we begin looking at the individual components within each of those models. These are the large-level ‘Nodes’ within each network and would include electrical substations, switching stations, pumping stations; the large components that create the critical ‘node’ points of a connected Utility Network infrastructure model.
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We identify areas where information about these facilities need improvement. This could mean improvement in the data quality and attribution, or full digitization into an electronic GIS model.
Eventually, our analysts work their way down into each individual component of each infrastructure layer in the client’s system, identifying areas that need conversion or improvement. These are the smaller nodes in the networks; Switches, Transformers, Valves, Pumps, Meters, etc.
Benefit: Delivery of upgraded, predictive risk models ready for deep network integration.
Data Cleanup
In every facility or installation there are gaps in the existing data models that will need to be addressed before data conversion into the new Nodal data models can begin, and the Assessment phase will identify these gaps.
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How robust the facility or installation’s GIS and data management programs are will determine if this phase is relatively easy, or will require a bit more work to get the data ready for connecting and integrating with other systems.
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An added benefit of this phase is the deliverable to the client is an improvement of their existing models for their immediate use.
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This phase would also likely begin the ‘boots on the ground’ surveys of the facility required to collect or verify equipment attributes, GPS coordinates, and any other information requiring field-verification.
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Clean data is the non-negotiable prerequisite for actionable risk assessment and smarter capital investment planning.
Benefit: Vastly improved data quality which transforms legacy records into reliable technical assets.
Pilot Conversion
Once the Assessment is far enough along and the data is positioned to begin converting into the Esri Utility Network, we begin with the select a subset of ideal networks and areas identified in the Assessment phase for a pilot data conversion and initial Nodal stand-up.
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Our analysts use conversion tools to build new, parallel network models of the existing facility infrastructure leaving the current models intact for ongoing use. This results in limited or no disruption to the operating systems of the facility while the work on Nodal is underway.
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These Pilot networks provide the development team a functioning set of information to use in setting up the integrations and Nodal user experience.
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While this Pilot Conversion is happening our system developers are working on integrating the larger elements of your digital landscape, those ‘endpoints’ referred to earlier, to be sure that the GIS properly connects with Maximo, iNFADS, SCADA, etc., and that these systems are properly communicating with each other.
Benefit: A low-risk pilot environment to prove out Nodal performance before full-scale deployment.
Full Build
Scaling the solution enterprise-wide, we finalize all technical integrations and asset handovers. The result is a fully functional, GIS-based Digital Twin that serves as the permanent command center for long-term lifecycle management. Your team gains total mission awareness through an interactive interface that bridges raw sensing data and strategic leadership oversight.
Benefit: A fully integrated, AI-enabled Nodal dashboard for total network visibility and command control.
Utility FAQ Details
How does Nodal Analysis improve DOD installation decisions
Nodal Analysis provides better data, which leads to more confident decisions. By creating an Installation Digital Twin, leaders can see how changes to one component affect the entire system, allowing them to move away from stove-piped assessments and toward a holistic management strategy that secures critical infrastructure and missions.
Which systems can be integrated into the Nodal Digital Twin
The solution integrates your existing systems; asset management, work management, SCADA and others. Specifically, it creates connectivity between GIS and other essential systems such as Builder, Maximo, and iNFADS, using intelligent software to provide a unified decision-making tool for today's infrastructure managers.
What are the primary benefits of operating a Nodal system today
The primary benefits include infrastructure failure related risk mitigation, better informed project planning, and the use of simulation tools. These tools identify systems or areas potentially vulnerable to threats from weather, natural occurrences, or other operational disruptions.
Reliability Stats
DOD Infrastructure Case Studies
Analysis 01
Mitigating Electrical Failure Risks
A study on how nodal analysis prevented wastewater system collapse by identifying fragile upstream electrical components, showcasing the importance of holistic rather than stove-piped utility assessment.
Analysis 02
Disparate Data Stream Integration
This case demonstrates the power of merging Arc Flash data, GIS, and Maximo condition assessments into a singular digital twin to overcome chronic underfunding through smarter asset management.
Analysis 03
Mission-Critical Asset Networking
Exploring the deployment of nodal networks to create a comprehensive operational picture, allowing installation leaders to explore infrastructure through an intuitive and reactive map-based interface.